You’re welcome. Thanks for your fantastic work.
I agree and hope to have it. Then we can help more.
I couldn’t see either. Seems like only Chinese knows. Like how to work with ESP WiFi’s. It’s only on paper.
It seems they builded all Arduino core from Kendryte Standalone SDK. Some code - especially related to DL algorithms looks like closed licensed.
So if there will be any starting point, it should be first Arduino core - which is mostly hit and miss(but some things interestingly works well like lvgl) - then Standalone SDK.
About TinyML - the book : https://www.amazon.com/TinyML-Learning-TensorFlow-Ultra-Low-Power-Microcontrollers/dp/1492052043
The Code and explanations - boards - sensors - everything : https://www.tensorflow.org/lite/microcontrollers
Basically gathering rich sensor data from microcontrollers and using that for creating and training Deep Learning models, then optimizing these models for microcontrollers. End goal is limiting cloud dependency, more intelligent IoT devices, etc. Which I imagine you all already know.
All TinyML supported boards are already supported by ulisp. We just need more sensor driver - interface, etc. If we have that, we can quickly prototype with them using ulisp and it will become much more important than we can imagine.
This is the getting starting guide for more curious : https://www.tensorflow.org/lite/microcontrollers/get_started